English

Embedding of Walsh Brownian Motion

Probability 2019-05-31 v1 Optimization and Control

Abstract

Let (Z,κ)(Z,\kappa) be a Walsh Brownian motion with spinning measure κ\kappa. Suppose μ\mu is a probability measure on Rn\mathbb{R}^n. We characterize all the κ\kappa such that μ\mu is a stopping distribution of (Z,κ)(Z,\kappa). If we further restrict the solution to be integrable, we show that there would be only one choice of κ\kappa. We also generalize Vallois' embedding, and prove that it minimizes the expectation E[Ψ(LτZ)]\mathbb{E}[\Psi(L^Z_{\tau})] among all the admissible solutions τ\tau, where Ψ\Psi is a strictly convex function and (LtZ)t0(L_t^Z)_{t \geq 0} is the local time of the Walsh Brownian motion at the origin.

Keywords

Cite

@article{arxiv.1905.12811,
  title  = {Embedding of Walsh Brownian Motion},
  author = {Erhan Bayraktar and Xin Zhang},
  journal= {arXiv preprint arXiv:1905.12811},
  year   = {2019}
}

Comments

Keywords: Skorokhod embedding problem, Walsh Brownian motion, Stochastic Calculus, Excursion theory, Vallois' embedding

R2 v1 2026-06-23T09:32:33.281Z